互联网+采煤机智能化关键技术研究
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- 英文论文题名：Study on key technology of internet plus intelligent coal shearer
- 论文作者：葛世荣 ; 王忠宾 ; 王世博
- 英文论文作者：Ge Shirong ; Wang Zhongbin ; Wang Shibo ; School of Electromechanical Engineering ; China University of Mining and Technology ; Jiangsu Provincial Collaborative Innovation Center of Intelligent Mining and Excavation Equipment
- 年：2016
- 作者机构：中国矿业大学机电工程学院;江苏省智能采掘装备协同创新中心;
- 论文关键词：煤矿综采 ; 无人综采工作面 ; 智能化采煤机 ; 综采机组物联网 ; 互联网+
- 英文论文关键词：fully-mechanized coal mining ; unmanned fully-mechanized coal mining face ; intelligent coal shearer ; fully-mechanized coal mining unit with internet of things ; internet plus
- 会议召开时间：2016-11-29
- 会议录名称：第三届煤炭科技创新高峰论坛——煤炭绿色开发与清洁利用技术与装备论文集
- 语种：中文
- 分类号：TD67
- 学会代码：ZGMT
- 会议名称：第三届煤炭科技创新高峰论坛——煤炭绿色开发与清洁利用技术与装备
- 会议地点：中国北京
- 主办单位：中国煤炭工业协会、中国煤炭科工集团有限公司、中国煤炭学会、煤炭科学研究总院
- 学会名称：中国煤炭学会
- 页数：9
- 文件大小：2247k
- 原文格式：O
- 会议级别：全国
摘要
为实现煤矿无人化综采作业,根据智能化采煤机的作业要求,研究了采煤机智能感知、智能控制、智能截割、远程可视化监控以及综采机组物联网技术,实现了采煤机组的无人操作、远程监控。通过在煤矿现场的应用试验,可实现采煤机作业过程中的自主定位、自动调高、自我诊断、自适应牵引、远程可视化监控,为建设无人化综采工作面奠定了重要基础。
In order to replace the manual operation of the coal shearer in the coal mine and realize the unmanned fully-mechanized coal mining operation,according to the operation requirements of the intelligent coal shearer,the paper had study on the intelligent perception of the coal shearer,intelligent control,intelligent cutting,remote visualized monitoring and the internet technology of things for the fullymechanized coal mining unit.The unmanned operation and remote monitoring of the coal mining unit were realized.With the site application test in the coal mine,an automatic positioning,automatic height-adjustment,self diagnosis,self-adaptive haulage and remote visualized monitoring could be realized in order to set up the important base to build the unmanned fully-mechanized coal mining face.
In order to replace the manual operation of the coal shearer in the coal mine and realize the unmanned fully-mechanized coal mining operation,according to the operation requirements of the intelligent coal shearer,the paper had study on the intelligent perception of the coal shearer,intelligent control,intelligent cutting,remote visualized monitoring and the internet technology of things for the fullymechanized coal mining unit.The unmanned operation and remote monitoring of the coal mining unit were realized.With the site application test in the coal mine,an automatic positioning,automatic height-adjustment,self diagnosis,self-adaptive haulage and remote visualized monitoring could be realized in order to set up the important base to build the unmanned fully-mechanized coal mining face.
引文
[1]陈惠英,田慕琴,陆秀芬,等.基于多传感器信息融合的煤岩界面识别[J].煤矿机电,2008(3):75-76.Chen Huiying.Tian Muqin.Lu Xiufen.et al.Coal-rock interface recognition based on multi-sensor information fusion[J].Colliery Mechanical&Electrical Technology,2008(3):75-76.
[2]葛世荣.智能化采煤装备的关键技术[J].煤炭科学技术,2014,42(9):7-11.Ge Shirong.Key technology of intelligent coal mining equipment[J].Coal Science and Technology,2014,42(9);7-11.
[2]葛世荣.智能化采煤装备的关键技术[J].煤炭科学技术,2014,42(9):7-11.Ge Shirong,Su Zhongshui.Li Ang,et al.Study on the positioning and orientation of a shearer based on geographic information system[J].Journal of China Coal Society.2015,40(11):2503-2508.
[4]刘清,魏文艳.基于红外检测装置的采煤机定位算法研究[J].机械工程与自动化,2013(6):157-159.Liu Qing,Wei Wenyan.The research on localization algorithm of shearer based on infrared detection device[J].Mechanical Engineering&Automation,2013(6):157-159.
[5]安美珍.采煤机运行姿态及位置监测的研究[D].北京:煤炭科学研究总院,2009.
[6]Zhou Lijuan,Chen Guangzhu.Location strategy of shearer based on wireless sensor network[C]//The 2010 International Conference on Apperceiving Computing and Intelligence Analysis Proceeding,Chengdu,2010.
[7]田丰,秦涛,刘华艳,等.煤矿井下线型无线传感器网络节点定位算法[J].煤炭学报,2010,35(10):1760-1764.Tian Feng,Qin Tao.Liu Huayan,et al.Nodes localization algorithm for linear wireless sensor network in underground coal mine[J].Journal of China Coal Society,2010,35(10):1760-1764.
[8]樊后世,张会,尹丽娜.采煤机位置检测装置:中国,CN201805340U[P].2011-04-20.
[9]夏护国.采煤机位置监测装置的原理与应用[J].矿山机械,2007,28(11):43-45.Xia Huguo.Principles and applications of shearer position monitoring device[J].Mining&Processing Equipment,2007,28(11):43-45.
[10]Donna L A.Laser tracking and tram control of a continuous mining machine[R].US:USBM,1990.
[11]Strickland W H.King R H.Characteristics of ultrasonic ranging sensors in an underground environment[R].US:USBM,1993.
[12]李昂.采煤机采区绝对定位定姿技术研究[D].徐州:中国矿业大学,2015.
[13]Michael K.Longwall automation a new approach[C]//Third International Symposium"High Performance Mine Production",Aachen,2003.
[14]Mark T D.2012 high accuracy inertial navigation for underground mining machinery[C]//Automation Science and Engineering(CASE),2012 IEEE International Conference on IEEE.[sl],2012.
[15]David C R.Shearer guidances major advance in longwall mining[R].Australia:CSIRO Exploration and Mining,2006.
[16]David C R.A practical inertial navigation solution for continuous miner automation[C]//Coal Operators'Conference,University of Wollongong&the Australasian Institute of Mining and Metallurgy,Australia,2012.
[17]郝尚清,王世博,谢贵君,等.长壁综采工作面采煤机定位定姿技术研究[J].工矿自动化,2014(6):21-25.Hao Shangqing,Wang Shibo,Xie Guijun,e?al.Research of determination technologies of position and attitude of shearer on long-wall fully mechanized coal mining face[J].Industry and Mine Automation,2014(6):21-25.
[18]Stolarczyk L G,Stolarczyk G L,Perry K L.Horizon sensor for advanced coal extraction(ACE)[C]//National Mining Association,MINExpo,Las Vegas,1996.
[19]Bessinger S L,Nelson M G.Remnant roof coal thickness measurement with passive gamma ray instruments in coal mines[J]-Industry Applications,IEEE Transactions,1993,29(3):562-565.
[20]王增才,孟惠荣,张秀娟.自然γ射线煤岩界面识别研究[J].煤矿机械,1999,20(6):16-18.Wang Zengcai,Meng Huirong,Zhang Xiujuan.The research on identification of coal-rock interface based on natural-y radiation[J].Coal Mine Machinery,1999,20(6):16-18.
[21]Robert L Chufo,Walter J Johnson.A radar coal thickness sensorf J].IEEE Transactions on Industry Application,1993,29(5):834-840.
[22]Gerald L Stolarczyk,Larry G Stolarczyk.Ground-penetrating imaging and detecting radar:USA,US006522285B2[P].2003-02-18.
[23]Andrew D Strange,Jonathon C Ralston,Vinod Chandran.Near-surface interface detection for coal mining applications using bispectral features and GPR[J].Subsurface Sensing Technology and Applications,2005,6(2):125-149.
[24]Ralston J C,Strange A D.Developing selective mining capability for longwall shearers using thermal infrared-based seam tracking[J].International Journal of Mining Science and Technology,2013,23(1):47-53.
[25]吴婕萍,李国辉.煤岩界面自动识别技术发展现状及其趋势[J].工矿自动化,2015(12):44-49.Wu Jieping,Li Guohui.Development status and tendency of automatic identification technologies of coal-rock interface[J].Industry and Mine Automation,2015(12):44-49.
[26]Sun J,Su B.Coal-rock interface detection using digital image analysis technique[C]//Electrical,Information Engineering and Mechatronics,London,2012.
[27]孙继平.基于图像识别的煤岩界面识别方法研究[J].煤炭科学技术,2011,39(2):77-79.Sun Jiping.Study on identified method of coal and rock interface based on image identification[J].Coal Science and Technology,2011,39(2)-.11-19.
[28]任洁,刘螟.基于采煤机振动时域特性的煤岩识别方法研究[J].煤炭工程,2016(3):106-109.Ren Jie,Liu Di.Recognition method of coal-rock interface based on time-domain vibration characteristics of coal cutter[J].Coal Engineering,2016(3):106-109.
[29]廉自生,刘混举.基于切割力响应的煤岩界面识别技术研究[J].山西机械,1999(2):25-27.Lian Zisheng.Liu Hunju.Study on the coal/rock interface recognition based on the responses of shearer's cutting force[J].Shanxi Machinery,1999(2):25-27.
[30]任芳,杨兆建.国内外煤岩界面识别技术研究动态综述[J].煤,2001,10(4):54-55.Ren Fang,Yang Zhaojian.The review of domestic and foreign coal rock interface recognition technology[J].Coal,2001,10(4):54-55.
[31]Ralston Jonathon R D.Hargrave Chad,Hainsworth David.Sensing for advancing mining automation capability:a review of underground automation technology development[J].International Journal ot Mining Science and Technology,2014,24(5):305-310.
[32]Si Lei,Wang Zhongbin,Tan Chao,et al.A novel approach for coal seam terrain prediction through information fusion of improved D-S evidence theory and neural network[J].Measurement,2014,54(4)?140-151.
[33]Si Lei,Wang Zhongbin,Liu Xinhua,et al.A novel adjustment method for shearer traction speed through integration of T-S cloud inference network and improved PS0[J].Computational Intelligence and Neuroscience,2014,35(11):1-13.
[2]葛世荣.智能化采煤装备的关键技术[J].煤炭科学技术,2014,42(9):7-11.Ge Shirong.Key technology of intelligent coal mining equipment[J].Coal Science and Technology,2014,42(9);7-11.
[2]葛世荣.智能化采煤装备的关键技术[J].煤炭科学技术,2014,42(9):7-11.Ge Shirong,Su Zhongshui.Li Ang,et al.Study on the positioning and orientation of a shearer based on geographic information system[J].Journal of China Coal Society.2015,40(11):2503-2508.
[4]刘清,魏文艳.基于红外检测装置的采煤机定位算法研究[J].机械工程与自动化,2013(6):157-159.Liu Qing,Wei Wenyan.The research on localization algorithm of shearer based on infrared detection device[J].Mechanical Engineering&Automation,2013(6):157-159.
[5]安美珍.采煤机运行姿态及位置监测的研究[D].北京:煤炭科学研究总院,2009.
[6]Zhou Lijuan,Chen Guangzhu.Location strategy of shearer based on wireless sensor network[C]//The 2010 International Conference on Apperceiving Computing and Intelligence Analysis Proceeding,Chengdu,2010.
[7]田丰,秦涛,刘华艳,等.煤矿井下线型无线传感器网络节点定位算法[J].煤炭学报,2010,35(10):1760-1764.Tian Feng,Qin Tao.Liu Huayan,et al.Nodes localization algorithm for linear wireless sensor network in underground coal mine[J].Journal of China Coal Society,2010,35(10):1760-1764.
[8]樊后世,张会,尹丽娜.采煤机位置检测装置:中国,CN201805340U[P].2011-04-20.
[9]夏护国.采煤机位置监测装置的原理与应用[J].矿山机械,2007,28(11):43-45.Xia Huguo.Principles and applications of shearer position monitoring device[J].Mining&Processing Equipment,2007,28(11):43-45.
[10]Donna L A.Laser tracking and tram control of a continuous mining machine[R].US:USBM,1990.
[11]Strickland W H.King R H.Characteristics of ultrasonic ranging sensors in an underground environment[R].US:USBM,1993.
[12]李昂.采煤机采区绝对定位定姿技术研究[D].徐州:中国矿业大学,2015.
[13]Michael K.Longwall automation a new approach[C]//Third International Symposium"High Performance Mine Production",Aachen,2003.
[14]Mark T D.2012 high accuracy inertial navigation for underground mining machinery[C]//Automation Science and Engineering(CASE),2012 IEEE International Conference on IEEE.[sl],2012.
[15]David C R.Shearer guidances major advance in longwall mining[R].Australia:CSIRO Exploration and Mining,2006.
[16]David C R.A practical inertial navigation solution for continuous miner automation[C]//Coal Operators'Conference,University of Wollongong&the Australasian Institute of Mining and Metallurgy,Australia,2012.
[17]郝尚清,王世博,谢贵君,等.长壁综采工作面采煤机定位定姿技术研究[J].工矿自动化,2014(6):21-25.Hao Shangqing,Wang Shibo,Xie Guijun,e?al.Research of determination technologies of position and attitude of shearer on long-wall fully mechanized coal mining face[J].Industry and Mine Automation,2014(6):21-25.
[18]Stolarczyk L G,Stolarczyk G L,Perry K L.Horizon sensor for advanced coal extraction(ACE)[C]//National Mining Association,MINExpo,Las Vegas,1996.
[19]Bessinger S L,Nelson M G.Remnant roof coal thickness measurement with passive gamma ray instruments in coal mines[J]-Industry Applications,IEEE Transactions,1993,29(3):562-565.
[20]王增才,孟惠荣,张秀娟.自然γ射线煤岩界面识别研究[J].煤矿机械,1999,20(6):16-18.Wang Zengcai,Meng Huirong,Zhang Xiujuan.The research on identification of coal-rock interface based on natural-y radiation[J].Coal Mine Machinery,1999,20(6):16-18.
[21]Robert L Chufo,Walter J Johnson.A radar coal thickness sensorf J].IEEE Transactions on Industry Application,1993,29(5):834-840.
[22]Gerald L Stolarczyk,Larry G Stolarczyk.Ground-penetrating imaging and detecting radar:USA,US006522285B2[P].2003-02-18.
[23]Andrew D Strange,Jonathon C Ralston,Vinod Chandran.Near-surface interface detection for coal mining applications using bispectral features and GPR[J].Subsurface Sensing Technology and Applications,2005,6(2):125-149.
[24]Ralston J C,Strange A D.Developing selective mining capability for longwall shearers using thermal infrared-based seam tracking[J].International Journal of Mining Science and Technology,2013,23(1):47-53.
[25]吴婕萍,李国辉.煤岩界面自动识别技术发展现状及其趋势[J].工矿自动化,2015(12):44-49.Wu Jieping,Li Guohui.Development status and tendency of automatic identification technologies of coal-rock interface[J].Industry and Mine Automation,2015(12):44-49.
[26]Sun J,Su B.Coal-rock interface detection using digital image analysis technique[C]//Electrical,Information Engineering and Mechatronics,London,2012.
[27]孙继平.基于图像识别的煤岩界面识别方法研究[J].煤炭科学技术,2011,39(2):77-79.Sun Jiping.Study on identified method of coal and rock interface based on image identification[J].Coal Science and Technology,2011,39(2)-.11-19.
[28]任洁,刘螟.基于采煤机振动时域特性的煤岩识别方法研究[J].煤炭工程,2016(3):106-109.Ren Jie,Liu Di.Recognition method of coal-rock interface based on time-domain vibration characteristics of coal cutter[J].Coal Engineering,2016(3):106-109.
[29]廉自生,刘混举.基于切割力响应的煤岩界面识别技术研究[J].山西机械,1999(2):25-27.Lian Zisheng.Liu Hunju.Study on the coal/rock interface recognition based on the responses of shearer's cutting force[J].Shanxi Machinery,1999(2):25-27.
[30]任芳,杨兆建.国内外煤岩界面识别技术研究动态综述[J].煤,2001,10(4):54-55.Ren Fang,Yang Zhaojian.The review of domestic and foreign coal rock interface recognition technology[J].Coal,2001,10(4):54-55.
[31]Ralston Jonathon R D.Hargrave Chad,Hainsworth David.Sensing for advancing mining automation capability:a review of underground automation technology development[J].International Journal ot Mining Science and Technology,2014,24(5):305-310.
[32]Si Lei,Wang Zhongbin,Tan Chao,et al.A novel approach for coal seam terrain prediction through information fusion of improved D-S evidence theory and neural network[J].Measurement,2014,54(4)?140-151.
[33]Si Lei,Wang Zhongbin,Liu Xinhua,et al.A novel adjustment method for shearer traction speed through integration of T-S cloud inference network and improved PS0[J].Computational Intelligence and Neuroscience,2014,35(11):1-13.